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RNA Sequencing in Clinical Oncology for Metabolism and Immunity
  • Language: en
  • Pages: 555
Next Generation Sequencing Based Diagnostic Approaches in Clinical Oncology
  • Language: en
  • Pages: 180

Next Generation Sequencing Based Diagnostic Approaches in Clinical Oncology

Dr. Anton Buzdin (AB) is employed by Omicsway Corp. (USA). AB received grants from Amazon and Microsoft Azure to support cloud computations. Dr. Xinmin Li is director of JCCC Shared Genomics Resource, the University of California, Los Angeles, CA Dr. Ye Wang is Director of Gene testing Department (Core Lab) of Qingdao Central Hospital, the Second Affiliated Hospital of Qingdao University

Molecular Pathway Analysis Using High-Throughput OMICS Molecular Data
  • Language: en
  • Pages: 359

Molecular Pathway Analysis Using High-Throughput OMICS Molecular Data

  • Type: Book
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  • Published: 2024-10-26
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  • Publisher: Elsevier

The field molecular pathway analysis evolves rapidly, and many progressive methods have recently been discovered. Molecular Pathway Analysis Using High-Throughput OMICS Data contains the largest collections of molecular pathways. For the first time, guidelines on how to do genomic, epigenetic, transcriptomic, proteomic, and metabolomic data analysis in real-world research practice are given. Molecular Pathway Analysis Using High-Throughput OMICS Molecular Data also focuses on the pathway analysis applications for solving tasks in biotechnology, pharmaceutics, and molecular diagnostics ​​It demonstrates how pathway analysis can be applied for the research and treatment of chronic and acut...

Application and Innovation of Multiomics Technologies in Clinical Oncology
  • Language: en
  • Pages: 484
Nucleic Acids Hybridization
  • Language: en
  • Pages: 328

Nucleic Acids Hybridization

Several approaches, such as microarray hybridization, have become extremely popular tools for specialists in biochemistry and biomedicine, while the potential of many other advantageous techniques seems to be underestimated. Written by an international team of authors, this book details the current state-of-art in hybridization techniques. Coverage includes experimental protocols along with comprehensive and detailed method descriptions.

Cell network in antitumor immunity of pediatric and adult solid tumors
  • Language: en
  • Pages: 171

Cell network in antitumor immunity of pediatric and adult solid tumors

None

Insights in Molecular Diagnostics and Therapeutics: 2021
  • Language: en
  • Pages: 196

Insights in Molecular Diagnostics and Therapeutics: 2021

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Bioinformatics of Genome Regulation, Volume II
  • Language: en
  • Pages: 203
Evolution, Origin of Life, Concepts and Methods
  • Language: en
  • Pages: 330

Evolution, Origin of Life, Concepts and Methods

This book presents 15 selected contributions to the 22nd Evolutionary Biology Meeting, which took place in September 2018 in Marseille. They are grouped under the following major themes: · Origin of Life · Concepts and Methods · Genome and Phenotype Evolution The aims of these annual meetings in Marseille are to bring together leading evolutionary biologists and other scientists who employ evolutionary biology concepts, e.g. for medical research, and to promote the exchange of ideas and encourage interdisciplinary collaborations. Offering an up-to-date overview of recent advances in the field of evolutionary biology, this book represents an invaluable source of information for scientists, teachers and advanced students.

Mathematical and Computational Oncology
  • Language: en
  • Pages: 91

Mathematical and Computational Oncology

This book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development.